Derivation of some parameters of myoelectric signals recorded during sustained constant force isometric contractions.
作者信息
De Luca C J, van Dyk E J
出版信息
Biophys J. 1975 Dec;15(12):1167-80. doi: 10.1016/S0006-3495(75)85893-0.
Abstract
Mathematical expressions are derived for some parameters of the myoelectric (ME) signal recorded during a constant force isometric contraction. The expressions are developed from a stochastic model for the motor-unit action-potential trains obtained from empirical results. The following parameters: (a) the mean rectified value, (b) the mean integrated rectified value, (c) the root-mean-square value, and (d) the power density spectrum are described as functions of contraction time and constant force of an isometric muscle contraction. The calculated parameters are compared to their corresponding empirically obtained measurements which have been reported in the literature. A discussion on the behavior of the parameters during increasing contraction time is presented. Synchronization of the motor-unit action-potential trains is shown to have a pronounced effect on the parameters of the myoelectric signal. This result should be considered when analyzing long records of myoelectric signals.
摘要
相似文献
1
Derivation of some parameters of myoelectric signals recorded during sustained constant force isometric contractions.
Biophys J. 1975 Dec;15(12):1167-80. doi: 10.1016/S0006-3495(75)85893-0.
2
AR modeling of myoelectric interference signals during a ramp contraction.
IEEE Trans Biomed Eng. 1994 Nov;41(11):1031-8. doi: 10.1109/10.335841.
3
Effects of the physiological parameters on the signal-to-noise ratio of single myoelectric channel.
J Neuroeng Rehabil. 2007 Aug 8;4:29. doi: 10.1186/1743-0003-4-29.
4
Vastus lateralis surface and single motor unit electromyography during shortening, lengthening and isometric contractions corrected for mode-dependent differences in force-generating capacity.
Acta Physiol (Oxf). 2009 Jul;196(3):315-28. doi: 10.1111/j.1748-1716.2008.01941.x. Epub 2008 Nov 20.
5
Motor unit recruitment and bursts of activity in the surface electromyogram during a sustained contraction.
Muscle Nerve. 2008 Jun;37(6):745-53. doi: 10.1002/mus.20978.
6
Myoelectric signal conduction velocity and spectral parameters: influence of force and time.
J Appl Physiol (1985). 1985 May;58(5):1428-37. doi: 10.1152/jappl.1985.58.5.1428.
7
Muscle fatigue simulator.
Bull Inst Marit Trop Med Gdynia. 1982;33(3-4):143-54.
8
Changes in soleus motoneuron pool reflex excitability and surface EMG parameters during fatiguing low- vs. high-intensity isometric contractions.
Electromyogr Clin Neurophysiol. 2007 Nov-Dec;47(7-8):341-50.
9
Differences in myoelectric manifestations of fatigue in sprinters and long distance runners.
Physiol Meas. 2008 Mar;29(3):331-40. doi: 10.1088/0967-3334/29/3/004. Epub 2008 Feb 22.
10
Firing rates of motor units in human vastus lateralis muscle during fatiguing isometric contractions.
J Appl Physiol (1985). 2005 Jul;99(1):268-80. doi: 10.1152/japplphysiol.01344.2004.
引用本文的文献
1
Causes of Performance Degradation in Non-invasive Electromyographic Pattern Recognition in Upper Limb Prostheses.
Front Neurorobot. 2018 Sep 21;12:58. doi: 10.3389/fnbot.2018.00058. eCollection 2018.
2
Frequency analysis of surface EMG to evaluation of muscle fatigue.
Eur J Appl Physiol Occup Physiol. 1981;47(3):239-46. doi: 10.1007/BF00422469.
3
A study of the electromyogram using a population stochastic model of skeletal muscle.
Biol Cybern. 1982;45(1):5-12. doi: 10.1007/BF00387208.
4
Median frequency of the myoelectric signal. Effects of muscle ischemia and cooling.
Eur J Appl Physiol Occup Physiol. 1984;52(3):258-65. doi: 10.1007/BF01015206.
5
Lumped and population stochastic models of skeletal muscle: implications and predictions.
Biol Cybern. 1980;36(2):73-85. doi: 10.1007/BF00361076.
6
Modelling myoelectric interference patterns during movement.
Med Biol Eng Comput. 1986 Jan;24(1):2-9. doi: 10.1007/BF02441599.
7
Model of the electromyographic activity during brief isometric contractions.
Biol Cybern. 1976 Dec 15;25(1):7-16. doi: 10.1007/BF00337044.
8
Use of surface electromyogram as a measure of dynamic force in human limb muscles.
Med Biol Eng Comput. 1978 Sep;16(5):519-24. doi: 10.1007/BF02457802.
9
Effect of motor-unit firing time statistics on e.m.g. spectra.
Med Biol Eng Comput. 1977 Nov;15(6):648-55. doi: 10.1007/BF02457923.
本文引用的文献
1
Electromyography of fatigue.
Arch Phys Med Rehabil. 1951 Oct;32(10):648-52.
2
Synchronous activity in normal and atrophic muscle.
Electroencephalogr Clin Neurophysiol. 1950 Nov;2(4):425-44. doi: 10.1016/0013-4694(50)90079-4.
3
AUTO- AND CROSS-CORRELATION ANALYSIS OF THE ELECTRICAL ACTIVITY OF MUSCLES.
Med Electron Biol Eng. 1964 Apr;2:155-9. doi: 10.1007/BF02484214.
4
Frequency analysis of muscle action potentials during tetanic contraction.
Electromyography. 1963 Jan-Apr;3:5-17.
5
[Synchronized rhythm of action potentials during muscle activity in the man].
Fiziol Zh SSSR Im I M Sechenova. 1959 Sep;45:1053-9.
6
The rhythmical activity of groups of motor units in the voluntary contraction of muscle.
J Physiol. 1957 Aug 6;137(3):473-87. doi: 10.1113/jphysiol.1957.sp005828.
7
Motor unit activity in the voluntary contraction of human muscle.
J Physiol. 1954 Aug 27;125(2):322-35. doi: 10.1113/jphysiol.1954.sp005161.
8
Dynamic spectrum analysis of myo-potentials and with special reference to muscle fatigue.
Electromyography. 1968 Jan-Apr;8(1):39-74.
9
Method for evaluation of muscle fatigue and endurance from electromyographic fatigue curves.
Am J Phys Med. 1968 Jun;47(3):125-35.
10
Muscular fatigue and action potential conduction velocity changes studied with frequency analysis of EMG signals.
Electromyography. 1970 Nov-Dec;10(4):341-56.
Zotero 插件